{"title":"从表速度试验预测飞行训练性能","authors":"D. Damos, A. Bittner, Mary Niemczyk","doi":"10.1027/2192-0923/a000228","DOIUrl":null,"url":null,"abstract":"Abstract. This study determined the predictive validity for the number correct (COR) and the number wrong (WR) of a complex perceptual speed test at three milestones in a collegiate flight training program. Test–retest data were obtained at different intervals. COR predicted time to solo ( N = 119, r = −.15, p < .05) and time to the private pilot certificate ( N = 51, r = −.34, p < .01). WR did not correlate with any performance measure. Test–retest reliabilities averaged across 17 months were r = .604 for COR and r = .431 for WR, with p < .0001 for both. A factor analysis of the test–retest data demonstrated that WR and COR loaded on different factors, indicating that they assess different attributes.","PeriodicalId":121896,"journal":{"name":"Aviation Psychology and Applied Human Factors","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Flight Training Performance From the Tabular Speed Test\",\"authors\":\"D. Damos, A. Bittner, Mary Niemczyk\",\"doi\":\"10.1027/2192-0923/a000228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. This study determined the predictive validity for the number correct (COR) and the number wrong (WR) of a complex perceptual speed test at three milestones in a collegiate flight training program. Test–retest data were obtained at different intervals. COR predicted time to solo ( N = 119, r = −.15, p < .05) and time to the private pilot certificate ( N = 51, r = −.34, p < .01). WR did not correlate with any performance measure. Test–retest reliabilities averaged across 17 months were r = .604 for COR and r = .431 for WR, with p < .0001 for both. A factor analysis of the test–retest data demonstrated that WR and COR loaded on different factors, indicating that they assess different attributes.\",\"PeriodicalId\":121896,\"journal\":{\"name\":\"Aviation Psychology and Applied Human Factors\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aviation Psychology and Applied Human Factors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1027/2192-0923/a000228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aviation Psychology and Applied Human Factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1027/2192-0923/a000228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
摘要本研究确定了在大学飞行训练计划的三个里程碑的复杂知觉速度测试的正确数(COR)和错误数(WR)的预测效度。以不同的间隔获得测试-重测试数据。COR预测独奏时间(N = 119, r =−)。15, p < 0.05)和时间对私人飞行员证书的影响(N = 51, r =−。34, p < 0.01)。WR与任何绩效指标都没有相关性。17个月的平均重测信度,COR为r = 0.604, WR为r = 0.431,两者的p < 0.0001。对重测数据的因子分析表明,WR和COR在不同的因子上负载,表明它们评估不同的属性。
Predicting Flight Training Performance From the Tabular Speed Test
Abstract. This study determined the predictive validity for the number correct (COR) and the number wrong (WR) of a complex perceptual speed test at three milestones in a collegiate flight training program. Test–retest data were obtained at different intervals. COR predicted time to solo ( N = 119, r = −.15, p < .05) and time to the private pilot certificate ( N = 51, r = −.34, p < .01). WR did not correlate with any performance measure. Test–retest reliabilities averaged across 17 months were r = .604 for COR and r = .431 for WR, with p < .0001 for both. A factor analysis of the test–retest data demonstrated that WR and COR loaded on different factors, indicating that they assess different attributes.